Metrics for evaluation of metaprogram complexity

12 years 6 months ago
Metrics for evaluation of metaprogram complexity
The concept of complexity is used in many areas of computer science and software engineering. Software complexity metrics can be used to evaluate and compare quality of software development and maintenance processes and their products. Complexity management and measurement is especially important in novel programming technologies and paradigms, such as aspect-oriented programming, generative programming, and metaprogramming, where complex multilanguage and multi-aspect program specifications are developed and used. This paper analyzes complexity management and measurement techniques, and proposes five complexity metrics (Relative Kolmogorov Complexity, Metalanguage Richness, Cyclomatic Complexity, Normalized Difficulty, Cognitive Difficulty) for measuring complexity of metaprograms at information, metalanguage, graph, algorithm, and cognitive dimensions.
Robertas Damasevicius, Vytautas Stuikys
Added 01 Mar 2011
Updated 01 Mar 2011
Type Journal
Year 2010
Authors Robertas Damasevicius, Vytautas Stuikys
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